Extraction of Street from Google Earth Imagery Region City Using Mathematical Morphology Approach

Abstract

The Silk Road on a map in the architect and civil urgently is needed for the purposes of mapping and planning, but on the other side to get a map takes a message and considerable cost. Then, after getting a map it still needs to be done in conducting first design of the layout, which makes basic maps done manually (tracing). For architecture students in performing activities requiring the design of the existing map for required repeatedly as a medium to create space analysis. It is necessary to map existing methods of making convenient with image-based processing. This study proposes a method of making a part of the existing maps more quickly and efficiently based on digital image processing. The method developed is aimed at extracting the road (linkage) using GPS Google Earth imagery data, using mathematical morphology algorithms, object detection. The proposed method has been implemented in MATLAB programming language into a prototype application software; it can detect and extract the linkage to clear the image of GPS. Prototype software that has been made is very usefull for the application in the architecture field, that is to get a basic picture of the existing mapping of the region. Is particularly useful as an application to create a base of image analysis process design task for students of architecture.